Ania Majewska

• My research interest is in conservation biology and disease ecology
• I use R in my research to:
  • organize and wrangle data
  • analyze data (statistical models)
  • model disease dynamics (transmission)
• I mostly work on the monarch butterfly and it's protozoan parasite
• My contact info is majewska@uga.edu

Reni Kaul

• I'm interested in understanding population extinctions
• I use R in my research to:
  • organize data
  • develop machine learning algorithms
  • model population dynamics
• I mostly work with microbial microcosm systems
• My contact info is reni@uga.edu

• Introduction of instructor & how they use R
• Review of past concepts
• Outline of the day's goals
  
• Work through data analysis project
  
• Reflection on day's materials

At the end of this workshop you should be able to…

• calculate descriptive and inferential statistics of a dataset
• create a figure from data

Topics

1. What is R and RStudio?

2. Introduction to R and tidyverse

   Break

3. Code along exercise

   Break

4. Troubleshooting

5. Exploring data in groups

   Break

6. Wrap Up

7. Datacamp.com

Let's open Rstudio!

• We need to install the tidyverse package. This can be done by clicking on buttons in Rstudio or from the console using install.packages()
• Install the package by running the line

# install all the packages in the tidyverse
install.packages("tidyverse") 

• Once a package is installed, we need to load it during our current R session.
• This is done using library().

# load tidyverse library
library(tidyverse)

Let's work in small groups (max of 3)

• Develop a question that can be answered with this data
• Decide on the needed verbs, and order
• Write the code in the final code chunck of the W1_Exercise.Rmd file

More instructions in the file.

We will be using datacamp.com to build more skills!